Geological Modeling On The Reservoir Of Fault Block In YD Area

Provided that establishing a 3D reservoir model under the control of complex fault system has a more difficulty problem for reservoir representation. This paper explore ways of fault-block reservoir modeling, and characterization of reservoir modeling for the upper Youshashan Formation(N22) in Sha 37 blocks. Basing on analyses the structure configuration and the space contact relationships of different complex faults, the paper construct the fault model and structural model of the A, B, C fault-block in the upper Youshashan Formation(N22). First, in order to conduct the sedimentary microfacies classification of a single well and establish the logging interpretation model, and using geological, drilling, logging interpretation and core analysis data. Second, in order to accurately describe the reservoir and its characteristics, this paper establishes a sedimentary microfacies model, lithofacies model and a lithofacies-controlled petrophysical model with the multi-stage facies-controlled methods in the upper Youshashan Formation(N22), step by step. In the process of modeling sedimentary microfacies, the correlation of analogy results between traditional geological statistical, for example, sequential indicator, truncated gaussian and multi-points geostatistics reveals that the multi-points geostatistics is more reliable to establish the sedimentary microfacies model, adopt the method of the Multiple trend fusion probability constraint method for the first time to control the process of the modeling sedimentary microfacies. Finally, the model is verified from four ways such as single well data roughening inspection, coincidence rate of the model test results and the known geological information, consistency of the probability distribution test and contrast of related analog variable attributes section to optimize the most realistic geological simulation realization that has high coincidence rate.In the process of the modeling, analyzed the applicability of the various microfacies modeling methods through the results, at the same time, finds out the distribution of reservoir properties of non-homogeneous which has a significance to further study distribution of remaining oil and provide a reliable guarantee for oilfield production to develop reservoir and enhance oil recovery.